Feature-preserving flows: A stochastic differential equation's view

G. B. Unal, H. Krim*, A. Yezzi

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5 Atıf (Scopus)

Özet

Evolution equations have proven to be useful in tracking fine to coarse features in a single level curve and/or in an image. In this paper, we give a stochastic insight to a specific evolution equation, namely the geometric heat equation, and subsequently use this insight to develop a class of feature-driven diffusions. A progressive smoothing along desired features of a level curve is aimed at overcoming effects of noisy environment during feature extraction and denoising applications.

Orijinal dilİngilizce
Sayfalar896-899
Sayfa sayısı4
Yayın durumuYayınlandı - 2000
Harici olarak yayınlandıEvet
EtkinlikInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Süre: 10 Eyl 200013 Eyl 2000

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???event.eventtypes.event.conference???International Conference on Image Processing (ICIP 2000)
Ülke/BölgeCanada
ŞehirVancouver, BC
Periyot10/09/0013/09/00

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